python scripts/evaluate_heart_disease_predictor.py \ --test-set=data/processed/heart_disease_test.csv \ --pipeline-svc-from=results/models/heart_disease_svc_pipeline.pickle \ --pipeline-lr-from=results/models/heart_disease_lr_pipeline.pickle \ --table-to=results/tables \ --plot-to=results/...
heart_disease_model.sav Add files via upload Dec 6, 2023 parkinsons.csv Add files via upload Dec 4, 2023 parkinsons_disease_model.sav Add files via upload Dec 6, 2023 Repository files navigation README Multi Disease Prediction Model Welcome to the Multi Disease Prediction Model project! This ...
Data Explorer Version 1 (9.27 kB) calendar_view_week heart_disease.csv Summary arrow_right folder 1 file arrow_right calendar_view_week 12 columns lightbulb See what others are saying about this dataset What have you used this dataset for? Learning 0Research 0Application 0LLM Fine-Tuning 0 Ho...
Lower HRV values can be indicative of an increased risk of cardiovascular disease- related morbidity and mortality [64, 65]. Lower HRV observed within this study may also be explained by the physical activity behaviour reported by the group, as the majority (69.2%) did not meet the WHO ...
9.9s2/kaggle/input/heart-disease-dataset/heart_disease_data.csv 10.2s3<class 'pandas.core.frame.DataFrame'> 10.2s4RangeIndex: 303 entries, 0 to 302 10.2s5Data columns (total 14 columns): 10.2s6# Column Non-Null Count Dtype 10.2s7--- --- --- --- 10.2s80 age 303 non-null...
Of these deaths, an estimated 7.2 million were due to coronary heart disease. Any method which can help to detect signs of heart disease could therefore have a significant impact on world health. This challenge is to produce methods to do exactly that. Specifically, we are interested in ...
(4), it is evident that the model predominantly concentrates on the ST segment of the ECG, which is known to exhibit abnormal changes in the ECG of heart failure patients [33]. As the disease progresses, the changes in the ST-T segment (the region of the ST and T waves) become more...
Contrast set mining has been applied to uncover distinguishing characteristics of two groups of brain stoke patients [2], or to the early detection of atherosclerotic coronary heart disease [1]. In this study, contrast set mining is first used to explore sleep apnea risk factors. The problem ...
a button, it also captures timestamps to mark the start or end of an eating episode. At the end of each session, timeStampr generates a comma-separated file (.csv) of the captured timestamps. This file is subsequently saved in iCloud. Instead of relying on manual methods, such as ...
Secondary Prevention of Coronary Heart Disease: Lipid Guidelines for Individual Patients vs. Hospital Populations.Clinical Nutrition Insight